MCP TODO Checklist Server is an MCP (Model Context Protocol) server implementation that provides a task management system with support for multiple to-do lists. It allows users to create, manage, and share checklists with features like priorities, due dates, tags, and persistent storage.
This server is designed to enhance productivity by offering a structured way to manage tasks through multiple lists. Its features such as priority levels, due dates, tagging, and sharing capabilities make it ideal for both individual and collaborative task management within the Claude Desktop environment.
Developers, teams, and individuals using Claude Desktop who need an organized system to track their tasks and collaborate on shared to-do lists would find this server particularly useful.
It can be installed either locally for development purposes or globally for regular usage. Local installation involves cloning the repository and setting up dependencies, while global installation uses npm to install the package system-wide.
You should use this server when you need a reliable task management solution integrated into your Claude Desktop workflow. Whether for personal productivity or team collaboration, its flexible features cater to various needs.
Use the `/todo_create` command in Claude Desktop with parameters specifying the title and optional description of the list.
Yes, the server supports sharing lists between users, allowing collaboration on common tasks.
You need Node.js version 18 or higher and NPM version 8 or higher to run the server successfully.
Tasks are stored persistently in a file-based storage system configured via the `storagePath` parameter in the `claude_desktop_config.json` file.
The server is built using TypeScript, Model Context Protocol SDK, Zod for data validation, and a file-based storage system.
MCP (Model Context Protocol) is an open protocol designed to standardize how applications provide context information to large language models (LLMs). Like a 'USB-C port' for AI applications, MCP ensures AI models can seamlessly connect with various data sources and tools.
An MCP Server is a server that supports the MCP protocol, enabling the exchange of contextual information between applications and AI models in a standardized way. It provides developers with an easy way to integrate AI models with databases, APIs, or other data sources.
An MCP Server eliminates the complexity of developing custom adapters by unifying the connection between AI models and various data sources. Whether you're a developer, data scientist, or AI app builder, an MCP Server simplifies the integration process, saving time and resources.
An MCP Server acts as an intermediary bridge, converting contextual information from various data sources into a format that AI models can understand. By adhering to the MCP protocol, it ensures data is transmitted between applications and AI models in a standardized manner.
At mcpserver.shop, you can browse our MCP Server Directory. The directory is categorized by industry (e.g., finance, healthcare, education), and each server comes with detailed descriptions and tags to help you quickly find the option that suits your needs.
The MCP Server Directory on mcpserver.shop is free to browse. However, some servers are hosted by third-party providers and may involve usage fees. Check the detailed page of each server for specific information.
MCP Servers support a wide range of data sources, including databases, APIs, cloud services, and custom tools. The flexibility of the MCP protocol allows it to connect almost any type of data source to AI models.
MCP Servers are primarily designed for developers, data scientists, and AI app builders. However, mcpserver.shop provides detailed documentation and guides to help users of varying technical levels get started easily.
Yes, MCP is an open-source protocol that encourages community participation and collaboration. For more details or to contribute, visit the official MCP documentation.
On mcpserver.shop, each MCP Server’s detailed page includes the provider’s contact information or a link. You can directly reach out to the provider for more details or technical support.